Twitter based sentimental analysis of Covid-19 observations

被引:3
|
作者
Vijayaraj, A. [1 ]
Bhavana, K. [1 ,2 ]
SreeDurga, S. [1 ,2 ]
Naik, S. Lokesh [2 ]
机构
[1] Vignans Fdn Sci Technol & Res, Dept Informat Technol, Guntur 522213, Andhra Pradesh, India
[2] MLR Inst Technol, Dept Comp Sci & Engn, Hyderabad, India
关键词
Social media; Sentimental analysis; Corona pandemic; Twitter; Polarity; Emotion;
D O I
10.1016/j.matpr.2022.05.194
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The emergence of social media has provided people with the opportunity to express their feelings and thoughts about everything and everything in their lives. There is a massive amount of textual stuff available, and approaches are required to make meaningful use of the information provided by isolating and evaluating the different types of text. Sentimental Analysis is a method of obtaining a human being's point of view through mining his or her emotions. The entire world is sharing their thoughts on social media on the Corona Pandemic that is now underway. This research presents an analysis of attitudes in order to determine whether or not people are optimistic in the face of a difficult circumstance. The technique of polarity is employed by the paper in order to determine if an opinion is positive, negative, or nonpartisan [1]. In order to determine the polarity, the following three major keywords are used: "COVID", "Corona virus," and "COVID-19." Copyright (C) 2022 Elsevier Ltd. All rights reserved.
引用
收藏
页码:713 / 719
页数:7
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